Hi all, I have 2 questions: 1. I found out the meaning of "deterministic" in D-Stream model is : given a particular input, will always produce the same output that is necessary for recomputation in lineage. Is it right?
2. Why spark stream needs to replicate input data for making deterministic state? what is the relation between deterministic tasks or operations and replication? Thanks. -- View this message in context: http://apache-spark-developers-list.1001551.n3.nabble.com/deterministic-D-Stream-mode-tp9054.html Sent from the Apache Spark Developers List mailing list archive at Nabble.com. --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
